Python Engineer - OCR / AI

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July 4

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Intetics

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Artificial Intelligence • Software Development • Enterprise

Intetics is an innovative company providing custom software development services, specializing in AI and machine learning solutions. They offer Remote In-Sourcing® to build expert teams for software engineering and data processing projects, along with advanced tools like TETRA™ for software quality assessment. Intetics aims to empower businesses by leveraging high-quality data and integrating modern technologies across various industries, including healthcare, finance, and more.

501 - 1000 employees

Founded 1995

🤖 Artificial Intelligence

🏢 Enterprise

📋 Description

• Intetics Inc., a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Python Engineer (OCR / AI) to join our dynamic team. • We are working on a healthcare product — we developed from scratch a multilayer, web-based platform, built on the basis of microservice architecture which supports numerous integrations with external web services and third-party applications.

🎯 Requirements

• Deep understanding of Python, including its advanced features and libraries. • Experience in developing Optical Character Recognition (OCR) and Computer Vision (CV) systems, particularly for extracting data from document scans and photos (ID cards, insurance policies, invoices, CVs). • Hands-on experience with open-source libraries for OCR and CV (e.g., OpenCV, Pillow, Tesseract, EasyOCR). • Experience with asynchronous programming (e.g., asyncio) for handling multiple concurrent requests. • Experience in developing and maintaining RESTful APIs to serve models (using FastAPI or Flask). • Skills in optimizing model inference speed and resource consumption (CPU/GPU/RAM) to handle high loads effectively. • Experience with acceleration techniques: batch processing, quantization, and GPU (CUDA) utilization. • Proficiency in NumPy and Pandas for processing both images and the extracted structured data. • Experience building data pipelines for efficient loading and image preprocessing of large datasets. • Understanding of concurrency models for efficient request management (e.g., threading, multiprocessing). • Experience with message queuing systems (e.g., RabbitMQ, Kafka).

🏖️ Benefits

• Paid Time Off (36 paid days per year) • Work From Home • Training & Development • Partial medical compensation